EP 4300329 A3 20240117 - COMPUTER VISION SYSTEMS AND METHODS FOR DETECTING AND MODELING FEATURES OF STRUCTURES IN IMAGES
Title (en)
COMPUTER VISION SYSTEMS AND METHODS FOR DETECTING AND MODELING FEATURES OF STRUCTURES IN IMAGES
Title (de)
COMPUTERSICHTSYSTEME UND VERFAHREN ZUR ERKENNUNG UND MODELLIERUNG VON MERKMALEN VON STRUKTUREN IN BILDERN
Title (fr)
SYSTÈMES ET PROCÉDÉS DE VISION ARTIFICIELLE POUR DÉTECTER ET MODÉLISER DES CARACTÉRISTIQUES DE STRUCTURES DANS DES IMAGES
Publication
Application
Priority
- US 201615277359 A 20160927
- EP 17886999 A 20170927
- US 2017053631 W 20170927
Abstract (en)
A computer vision system and method for detecting and modeling features of a building in a plurality of images is provided. The system includes at least one computer system in communication with a database of aerial imagery, and computer vision system code executed by the at last one computer system which automatically detects contours and infers interior roof features of the building. The system first processes the plurality of images to identify a plurality of two-dimensional (2D) line segments in each image. Then, the system processes the plurality of 2D line segments to generate a plurality of three-dimensional (3D) line segments. The plurality of 2D line segments are then processed to detect a contour of the structure, and the contour of the structure is utilized by the system to infer interior roof lines from the structure. A model of the roof of the structure is finally generated using the detected contour and interior roof lines. The system can execute a straight-skeleton algorithm to infer the interior roof lines from the detected contour. Additionally, the system can detect roof rakes from the images.
IPC 8 full level
G06T 7/536 (2017.01); G06T 7/12 (2017.01); G06T 7/564 (2017.01)
CPC (source: EP US)
G06F 16/532 (2018.12 - US); G06T 7/12 (2016.12 - EP US); G06T 7/536 (2016.12 - EP US); G06T 7/564 (2016.12 - EP US); G06T 2207/10032 (2013.01 - EP US); G06T 2207/20044 (2013.01 - EP US)
Citation (search report)
- [I] US 2013211790 A1 20130815 - LOVELAND JAMES EDWARD [US], et al
- [A] SHAO Y-C ET AL: "Automatic Building Outline Reconstruction Using 2D Building Data and Stereo Images", ASIAN CONFERENCE ON REMOTE SENSING, XX, XX, 25 November 2002 (2002-11-25), pages 1 - 7, XP002378095
- [A] HENRICSSON O ED - DEBLED-RENNESSON ISABELLE ET AL: "THE ROLE OF COLOR ATTRIBUTES AND SIMILARITY GROUPING IN 3-D BUILDING RECONSTRUCTION", COMPUTER VISION AND IMAGE UNDERSTANDING, ACADEMIC PRESS, US, vol. 72, no. 2, November 1998 (1998-11-01), pages 163 - 184, XP000786869, ISSN: 1077-3142, DOI: 10.1006/CVIU.1998.0718
- [A] RAFAEL GROMPONE VON GIOI ET AL: "LSD: a Line Segment Detector", IMAGE PROCESSING ON LINE, 24 March 2012 (2012-03-24), pages 35 - 55, XP055610005, Retrieved from the Internet <URL:https://pdfs.semanticscholar.org/3dce/b913ccb8394e1a5abec051708f86deed5483.pdf> [retrieved on 20190731], DOI: 10.5201/ipol.2012.gjmr-lsd
- [A] LAYCOCK ET AL: "automatically generating roof models from building footprints", WSCG POSTERS PROCEEDINGS, XX, XX, 3 February 2003 (2003-02-03), pages 1 - 4, XP002259201
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
DOCDB simple family (publication)
US 10127670 B2 20181113; US 2018089833 A1 20180329; AU 2017387638 A1 20190411; AU 2017387638 A2 20190418; AU 2017387638 B2 20220922; AU 2017387638 C1 20230309; AU 2022275479 A1 20230105; CA 3037360 A1 20180705; EP 3520076 A2 20190807; EP 3520076 A4 20190911; EP 3520076 B1 20231122; EP 4300329 A2 20240103; EP 4300329 A3 20240117; US 11145073 B2 20211012; US 2019102897 A1 20190404; US 2022028163 A1 20220127; WO 2018125339 A2 20180705; WO 2018125339 A3 20180726; WO 2018125339 A9 20180920
DOCDB simple family (application)
US 201615277359 A 20160927; AU 2017387638 A 20170927; AU 2022275479 A 20221124; CA 3037360 A 20170927; EP 17886999 A 20170927; EP 23210741 A 20170927; US 2017053631 W 20170927; US 201816189339 A 20181113; US 202117499258 A 20211012